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Christopher M. Teixeira
I have supported a variety of federal and commercial customers over my career. The common theme across my career is using data to support decision making amongst my customers. Traditionally, this means being able to understand how it was collected and its weaknesses, adding value through incorporation into a model, and communicating it through a medium like interactive visualizations.
Education
M.S., Operations Research
George Mason University
Fairfax, VA
2010 - 2008
- Concentration in Decision Analysis
- Capstone project using Integer Programming
B.S., Mathematics
Worcester Polytechnic Institute
Worcester, MA
2006 - 2002
- Focus in Applied Statistics and Probability
- Capstone project using Factor Analysis, PCA, and logistic regression
Work Experience
Principal Data Scientist
MITRE
Bedford, MA
2019 - 2014
- Responsible for quality of deliverables from the Model-Based Analytics Department
- Principal Investigator for Child Welfare related projects
- Lead a team of 15 data scientists to explore opioid prescribing behaviors
Senior Analytics Consultant
Epsilon
Wakefield, MA
2014 - 2012
- Support a variety of analytics based projects using R, Python, SAS, and SQL
- Serve as a subject matter expert in Natural Language Processing and other machine learning techniques
Senior Analytics Consultant
IBM
Herndon, VA
2012 - 2011
- Supported decision making through use of Analytical Hierarchy Process and Logistic Regression.
- Utilized SAS to create a fusion of disparate data sources for multiple analysts to use.
Operations Research Analyst
SAIC
McLean, VA
2011 - 2006
- Created a simulation tool in Excel for planning missions to the moon
- Performed a risk analysis for many transit authorities
Selected Projects
State Engagement to Address Opioid Overprescribing and Misuse
MITRE
N/A
2019 - 2017
- To be filled in later.
Real Time Predictive Modeling
Epsilon
N/A
2014
- Design and implement a model to perform real time predictions.
Customer Attrition Analysis
Epsilon
N/A
2012
- Using machine learning to predict which accounts are likely to be closed
Healthcare Claims Fraud
IBM
N/A
2010
- Statistical approach to determining regional based fraud in healthcare claims.
NASA - Probabilistic Campaign Manifest Analysis Tool
SAIC
N/A
2009 - 2006
- Optimizing allocation of resources to maximize mission success
Selected Writing
Predictive Analytics In Child Welfare: An Assessment Of Current Efforts, Challenges And Opportunities
MITRE
N/A
2017
- This document explores the state of the use of predictive analytics in child welfare by conducting an environmental scan of child welfare agencies, academia, nonprofit organizations, and for-profit vendors.